Group Chat Content History Filtering for New Users
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Solution Overview
Problem
When a user is added to an existing group chat session, they may be presented with content history that is not relevant or contains sensitive information, posing a security and privacy concern.
Innovation Solution
A system that analyzes the content history and generates a modified version based on user data, hiding or summarizing sensitive information and technical content not relevant to the user, and presenting a filtered view to ensure security and relevance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If the complete content history of a group chat session is presented to a newly added user, then the user gains full context and information about previous discussions, but sensitive or private information may be exposed and irrelevant content increases data load
Solution Approach 1:
The patent segments the complete content history into multiple portions based on relevance analysis. The system divides the chat history into relevant content that should be shown to the new user and irrelevant or sensitive content that should be hidden, thereby resolving the contradiction between providing full context and protecting sensitive information.
Solution Approach 2:
The patent applies local quality by treating different portions of the content history differently. Rather than uniformly presenting or hiding all content, the system analyzes each portion individually and applies different presentation qualities - showing relevant content while hiding sensitive or irrelevant portions - based on the specific characteristics of each segment.
2Loss of information
If the complete content history is presented to the added user, then full contextual information is provided, but the data load and processing requirements increase
Solution Approach 1:
The patent extracts only the necessary and relevant portions of the content history for presentation to the new user. By analyzing the content and user profile, the system takes out and presents only the relevant segments while excluding irrelevant or sensitive portions, thereby reducing data load while maintaining contextual completeness.
Solution Approach 2:
The patent applies partial action by presenting a subset of the complete content history rather than the entire history. The system determines the optimal portion of content to display based on relevance analysis, providing sufficient context for the new user without overwhelming them with unnecessary data.
3Object-affected harmful factors
If content analysis and modification is performed before presenting chat history, then security and relevance are improved, but system processing time and complexity increase
Solution Approach 1:
The patent applies preliminary action by performing content analysis and generating the modified content history before the new user actually requests to view it. The system proactively analyzes the chat history, identifies relevant and sensitive portions, and prepares the customized content presentation in advance, thereby reducing the complexity of real-time processing when the user joins.
Solution Approach 2:
The patent introduces an intermediary content analysis and modification layer between the raw chat history and the user interface. This intermediary system analyzes the content, applies relevance and security filters, and generates the modified presentation, thereby managing the complexity in a dedicated module rather than throughout the entire system.
Data Source
AI summary
Presenting content history to a user added to a group chat may include: receiving a request from a user to join an existing group chat session, wherein the requesting user is associated with user data describing the requesting user’s persona; performing an analysis of content of the group chat session prior to the requesting user joining the group chat session; and adding the requesting user to the group chat session, including: generating a modified version of the content of the group chat session based on the content analysis and the user data; and presenting the modified version of the content of the group chat session to the requesting user.